Freelancer profile translated to English.

Description

Senior Backend Python product-oriented, expert in asynchronous architectures (RabbitMQ) and PostgreSQL optimization, with a strong DevOps sensitivity GCP/Kubernetes to ensure performance, resilience, and scalability.

Expert in asynchronous architectures (RabbitMQ) and PostgreSQL optimization under load, with a strong DevOps sensibility (GCP / Kubernetes / Terraform), I transform fragile systems into resilient and observable platforms.

My expertise covers:

Design and evolution of backend APIs (Flask) with high traffic constraints
Reliability of distributed workflows (DLQ, retry, idempotence, contracts)
PostgreSQL optimization on critical queries
Implementation of reliability strategies (tests, load, SLO)
Structuring of GKE & Kubernetes environments
Infrastructure as Code via Terraform
Advanced observability (Prometheus, Grafana, structured alerting)
Migration and security of large-scale data
SQL & Python automation in large enterprise environments

My experience covers:

SaaS scale-up in hypergrowth (x20 volume)
Banking / credit / insurance environments
IT consulting and large enterprise contexts with high robustness requirements

They trusted me: Monk.ai, BNP PF, MACIF, Natixis.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Monk.ai
Backend & DevOps Developer
AUTOMOBILE
May 2022 - March 2025 (2 years and 10 months)
Paris, France
- Developed and maintained a ML-based bodywork inspection backend for used vehicle trade-ins, with an API and asynchronous processing.
- Orchestrated multi-step ML inferences and business features via RabbitMQ workers (single consumption messages).
- Ensured the reliability of the asynchronous processing chain with exchanges and DLQ (error handling, retries, production stability).
- Designed a PDF report generation feature on demand via the API, based on Jinja templates and client branding.
- Implemented a pricing module based on detected damage (decision tree combining damage type, size, part, labor, and hourly rate) to estimate refurbishment costs.
- Optimized PostgreSQL (indexing, query and model redesign), reducing response times on critical queries.
- Refactored a "catch-all" inference table into multiple tables aligned with business logic, to reduce redundancy and improve maintainability.
- Evolved an existing quality process (organization, reviews, delivery practices) and mentored two junior developers.
- Operated and evolved the infrastructure on GCP (GKE, Cloud SQL) to support product scaling.
- Administered Kubernetes objects necessary for runtime (deployments, HPA, ingress, secrets, configmaps, namespaces).
- Implemented application scaling with KEDA on RabbitMQ (queue length and rate) to absorb peaks and stabilize workers.
- Improved the robustness of asynchronous processing, reducing approximately 1,000 messages/day in DLQ to almost 0.
- Supported business scaling, from about 100 to ~2,000 vehicles inspected per day.
- Contributed to infrastructure as code via Terraform on the platform scope (GKE, Cloud SQL, and associated components).
Python flask RabbitMQ PostgreSQL Kubernetes
Noveane
Senior Technical Consultant
BANKING AND INSURANCE
April 2019 - March 2022 (2 years and 11 months)
Puteaux, France
Clients: BNP Paribas Personal Finance, Macif (also Natixis, AGIRC-ARCO)

- Administered and maintained CA PPM (Clarity) in operational conditions, with development of enhancements and implementation of business rules.
- **BNP Paribas PF (18 months, approx. 3,000 users)**: Migrated a Clarity instance to another for IT France, using SQL and Python scripts, ensuring data recovery.
- **BNP Paribas PF**: Built a reporting foundation (materialized views) and delivered BI reports for project control and results monitoring (JasperReports, Power BI).
- **Macif**: Automated daily import of leave data to Clarity via VBA script.
- Developed specific Clarity automations and business rules in JellyScript, directly linked to functional needs.
Python PL/SQL VBA Business intelligence
CDRI
Developer
EDUCATION AND E-LEARNING
July 2018 - February 2019 (7 months)
Tbilisi, Georgia
- Developed a forum generator and an information website in Flask.
- Implemented authentication, database, and core application features.
- Ensured deployment and front-end integration (Bootstrap), with incremental deliveries.
flask Python Bootstrap

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ITIL® Foundation Certificate in IT Service Management
AXELOS
2019
Certification ITIL® Foundation in IT Service Management
Course "Python for Data Science"
UC San DiegoX
2018
Formation "Python for Data sciences"

Check out Aymeric's education

Aymeric Deschard

Backend Developer | Devops | Python | Kubernetes

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